Spark, Databricks, Tensorflow, Machine Learning, MLops, AWS, Pytorch, Python, Terraform, OpenAI, scikit-learn, GenAI, Hugging Face, LangChain

pruning , Pytorch, Regression Analysis, Python, Large-scale model deployment, Distributed training systems, Quantization, Benchmarking, Efficient deep learning, Model optimization, Model optimization and compression techniques, Multimodal optimization challenges, Large-scale experimentation workflows, Efficiency profiling